OSCAL TIGER 8
Geekbench AI Score
685
Single Precision Score
676
Half Precision Score
1519
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 10:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OSCAL TIGER 8 |
| Model ID | OSCAL TIGER 8 |
| Motherboard | ums9620_2h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
391
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
100% |
1180
219.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1520
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1534
1.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
2840
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
83% |
1021
82.5 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.63 IPS |
|
|
Face Detection (Q)
|
95% |
2386
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1031
7.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
2476
22.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2437
3.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2109
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6132
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1694
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
437
582.9 IPS |
|
|
Text Classification (HP)
|
100% |
424
566.5 IPS |
|
|
Text Classification (Q)
|
88% |
732
986.7 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
